Overview
Customer Engineering / AI Engineer supporting technical customer success through hands-on execution of AI-enabled customer solutions.
What you'll do
- Analyze recurring and complex customer-impacting engineering issues and identify opportunities for AI-driven automation.
- Build AI-powered tools and workflows for diagnosing, troubleshooting, remediating, and preventing customer issues.
- Develop prompt harnesses and evaluation frameworks to test LLM solutions against real-world engineering scenarios.
- Design agentic workflows where LLMs reason over context, use tools, perform actions, validate results, and iterate.
- Investigate AI failures methodically and improve prompts, context, tools, model selection, and workflows.
- Measure solutions using engineering metrics such as accuracy, resolution time, automation rate, reliability, latency, and cost.
What you'll need
- 4+ years of experience.
- Hands-on experience building production applications using LLMs, prompt engineering, structured outputs, and function/tool calling.
- Experience building agentic workflows using frameworks such as LangGraph or LangChain, including MCP/tool integrations.
- Strong Python/software engineering skills with experience deploying, monitoring, evaluating, and optimizing AI workloads.
- Basic working knowledge of enterprise software platforms, APIs, and integrations.
- Ability to document solutions, runbooks, and support procedures for maintainability.
Details
- Location: Bangalore, India.
Read the full description and apply on the company’s own careers page.